Research Article

The Power of Data in MedTech: Enabling Innovation, Efficiency, and Smarter Healthcare

Authors

  • Nilima James Rodrigues Senior Professional In Data Engineering and Analytics, California, USA

Abstract

Data stands as the cornerstone of transformation within the medical technology sector, driving profound advancements in device development, clinical applications, and operational efficiency. As healthcare evolves toward increased personalization and complexity, the strategic utilization of data enables unprecedented innovation while optimizing resource allocation across the value chain. Connected medical devices generate vast information repositories that power artificial intelligence systems, predictive analytics platforms, and remote monitoring capabilities, collectively enhancing diagnostic accuracy and treatment personalization. Beyond clinical applications, data analytics revolutionizes manufacturing processes, supply chain management, and equipment maintenance, creating significant operational advantages for healthcare organizations. The integration of these capabilities depends fundamentally on robust governance frameworks, interoperability standards, and security protocols that protect sensitive information while enabling appropriate utilization. By addressing these technical, organizational, and ethical dimensions simultaneously, the medical technology sector can fully realize the transformative potential of data as the enabler of next-generation healthcare delivery systems that improve outcomes while enhancing efficiency.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (5)

Pages

893-905

Published

2025-06-09

How to Cite

Nilima James Rodrigues. (2025). The Power of Data in MedTech: Enabling Innovation, Efficiency, and Smarter Healthcare. Journal of Computer Science and Technology Studies, 7(5), 893-905. https://doi.org/10.32996/jcsts.2025.7.5.103

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Keywords:

Connected Medical Devices, Artificial Intelligence Diagnostics, Predictive Maintenance, Supply Chain Optimization, Data Governance